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Spain - Overcrowding rate was 6.60% in December of 2022, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Spain - Overcrowding rate - last updated from the EUROSTAT on July of 2025. Historically, Spain - Overcrowding rate reached a record high of 13.60% in December of 2004 and a record low of 4.70% in December of 2018.
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US: Population: Total: Aged 65 and Above data was reported at 50,204,174.000 Person in 2017. This records an increase from the previous number of 48,612,690.000 Person for 2016. US: Population: Total: Aged 65 and Above data is updated yearly, averaging 30,722,814.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 50,204,174.000 Person in 2017 and a record low of 16,487,378.000 Person in 1960. US: Population: Total: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum;
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Context
The dataset tabulates the population of Rocky Ridge by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Rocky Ridge. The dataset can be utilized to understand the population distribution of Rocky Ridge by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Rocky Ridge. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Rocky Ridge.
Key observations
Largest age group (population): Male # 30-34 years (15) | Female # 15-19 years (28). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Rocky Ridge Population by Gender. You can refer the same here
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Population: as % of Female Population: Female: Aged 0-14 data was reported at 34.465 % in 2023. This records an increase from the previous number of 34.316 % for 2022. Population: as % of Female Population: Female: Aged 0-14 data is updated yearly, averaging 46.861 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 50.674 % in 1988 and a record low of 34.075 % in 2021. Population: as % of Female Population: Female: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Marshall Islands – Table MH.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 0 to 14 as a percentage of the total female population. Population is based on the de facto definition of population.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.
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NO: Population: Female: Ages 15-19: % of Female Population data was reported at 6.039 % in 2017. This records a decrease from the previous number of 6.096 % for 2016. NO: Population: Female: Ages 15-19: % of Female Population data is updated yearly, averaging 7.240 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 8.235 % in 1965 and a record low of 5.698 % in 1999. NO: Population: Female: Ages 15-19: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank: Population and Urbanization Statistics. Female population between the ages 15 to 19 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;
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VE: Population in Urban Agglomerations of More Than 1 Million: as % of Total Population data was reported at 28.877 % in 2017. This records a decrease from the previous number of 28.922 % for 2016. VE: Population in Urban Agglomerations of More Than 1 Million: as % of Total Population data is updated yearly, averaging 31.643 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 34.356 % in 1981 and a record low of 28.845 % in 1960. VE: Population in Urban Agglomerations of More Than 1 Million: as % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank.WDI: Population and Urbanization Statistics. Population in urban agglomerations of more than one million is the percentage of a country's population living in metropolitan areas that in 2018 had a population of more than one million people.; ; United Nations, World Urbanization Prospects.; Weighted average;
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BE: Population: Male: Ages 70-74: % of Male Population data was reported at 4.670 % in 2023. This records an increase from the previous number of 4.636 % for 2022. BE: Population: Male: Ages 70-74: % of Male Population data is updated yearly, averaging 3.425 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 4.670 % in 2023 and a record low of 2.546 % in 1989. BE: Population: Male: Ages 70-74: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belgium – Table BE.World Bank.WDI: Population and Urbanization Statistics. Male population between the ages 70 to 74 as a percentage of the total male population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;
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NL: Population: Male: Ages 5-9: % of Male Population data was reported at 5.517 % in 2017. This records a decrease from the previous number of 5.605 % for 2016. NL: Population: Male: Ages 5-9: % of Male Population data is updated yearly, averaging 6.451 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 9.933 % in 1960 and a record low of 5.517 % in 2017. NL: Population: Male: Ages 5-9: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Netherlands – Table NL.World Bank.WDI: Population and Urbanization Statistics. Male population between the ages 5 to 9 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;
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Context
The dataset tabulates the population of Rock Creek by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Rock Creek. The dataset can be utilized to understand the population distribution of Rock Creek by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Rock Creek. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Rock Creek.
Key observations
Largest age group (population): Male # 35-39 years (52) | Female # 20-24 years (79). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Rock Creek Population by Gender. You can refer the same here
The United Nations Energy Statistics Database (UNSTAT) is a comprehensive collection of international energy and demographic statistics prepared by the United Nations Statistics Division. The 2004 version represents the latest in the series of annual compilations which commenced under the title World Energy Supplies in Selected Years, 1929-1950. Supplementary series of monthly and quarterly data on production of energy may be found in the Monthly Bulletin of Statistics. The database contains comprehensive energy statistics for more than 215 countries or areas for production, trade and intermediate and final consumption (end-use) for primary and secondary conventional, non-conventional and new and renewable sources of energy. Mid-year population estimates are included to enable the computation of per capita data. Annual questionnaires sent to national statistical offices serve as the primary source of information. Supplementary data are also compiled from national, regional and international statistical publications. The Statistics Division prepares estimates where official data are incomplete or inconsistent. The database is updated on a continuous basis as new information and revisions are received. This metadata file represents the population statistics during the expressed time. For more information about the country site codes, click this link to the United Nations "Standard country or area codes for statistical use": https://unstats.un.org/unsd/methodology/m49/overview/
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License information was derived automatically
Context
The dataset tabulates the population of Grover by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Grover. The dataset can be utilized to understand the population distribution of Grover by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Grover. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Grover.
Key observations
Largest age group (population): Male # 85+ years (13) | Female # 50-54 years (16). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Grover Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the population of Morgan City by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Morgan City across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 52.91% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Morgan City Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Kelleys Island by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Kelleys Island. The dataset can be utilized to understand the population distribution of Kelleys Island by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Kelleys Island. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Kelleys Island.
Key observations
Largest age group (population): Male # 60-64 years (22) | Female # 65-69 years (37). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Kelleys Island Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Latty by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Latty. The dataset can be utilized to understand the population distribution of Latty by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Latty. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Latty.
Key observations
Largest age group (population): Male # 35-39 years (14) | Female # 70-74 years (12). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Latty Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Oakland town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Oakland town. The dataset can be utilized to understand the population distribution of Oakland town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Oakland town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Oakland town.
Key observations
Largest age group (population): Male # 60-64 years (84) | Female # 60-64 years (107). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Oakland town Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Oak Grove by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Oak Grove. The dataset can be utilized to understand the population distribution of Oak Grove by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Oak Grove. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Oak Grove.
Key observations
Largest age group (population): Male # 45-49 years (129) | Female # 45-49 years (89). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Oak Grove Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Soso by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Soso. The dataset can be utilized to understand the population distribution of Soso by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Soso. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Soso.
Key observations
Largest age group (population): Male # 50-54 years (42) | Female # 30-34 years (84). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Soso Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Grace City by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Grace City. The dataset can be utilized to understand the population distribution of Grace City by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Grace City. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Grace City.
Key observations
Largest age group (population): Male # 10-14 years (8) | Female # 40-44 years (3). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Grace City Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Toquerville by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Toquerville. The dataset can be utilized to understand the population distribution of Toquerville by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Toquerville. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Toquerville.
Key observations
Largest age group (population): Male # 5-9 years (127) | Female # 35-39 years (108). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Toquerville Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Tallmadge by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Tallmadge. The dataset can be utilized to understand the population distribution of Tallmadge by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Tallmadge. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Tallmadge.
Key observations
Largest age group (population): Male # 60-64 years (842) | Female # 55-59 years (933). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
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Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Tallmadge Population by Gender. You can refer the same here
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Spain - Overcrowding rate was 6.60% in December of 2022, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Spain - Overcrowding rate - last updated from the EUROSTAT on July of 2025. Historically, Spain - Overcrowding rate reached a record high of 13.60% in December of 2004 and a record low of 4.70% in December of 2018.